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Information Technology 🏢 Full Time ⭐️ Verified

Equity Options Software Engineer

Quantum Financial Technologies
Phoenix
Estimated Salary
USD 110.000 – USD 160.000
New
Live Update
18 September 2026
Deadline
18 Sep 2027

Job Description

Join our elite team at Quantum Financial Technologies, where innovation meets high-stakes finance. We're urgently seeking a brilliant Equity Options Software Engineer to architect next-gen trading platforms that power institutional markets. This is your chance to work at the intersection of complex financial derivatives and cutting-edge technology in a fast-paced, mission-driven environment.

Our Phoenix hub offers unparalleled career growth, competitive compensation, and the opportunity to solve problems that directly impact global financial markets. You'll collaborate with top-tier quants, traders, and engineers to build low-latency systems handling billions in daily transactions.

Responsibilities

  • Design and develop high-performance software for equity options pricing, risk analysis, and trading execution systems
  • Implement real-time market data processing and analytics platforms handling 10,000+ transactions/second
  • Create robust APIs connecting trading systems with market data feeds and clearinghouses
  • Optimize algorithms for options Greeks calculations and Monte Carlo simulations
  • Build fault-tolerant systems with 99.99% uptime for critical trading operations
  • Collaborate with cross-functional teams to translate complex financial requirements into technical specifications
  • Maintain and enhance existing codebase while ensuring regulatory compliance (SEC, FINRA)

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or quantitative field (MS preferred)
  • 5+ years of experience in C++/Java/Python development for financial systems
  • Deep understanding of equity options pricing models (Black-Scholes, Binomial, Monte Carlo)
  • Expertise in low-latency systems and high-frequency trading architecture
  • Strong knowledge of FIX protocol and market data feeds (ITCH/ITCHv5.0)
  • Experience with Linux, Docker, Kubernetes, and cloud deployment (AWS/Azure)
  • Familiarity with regulatory requirements for derivatives trading

Required Skills

C++ Java Python FIX Protocol Options Pricing Low-latency Systems Linux Docker Kubernetes AWS Market Data Risk Analysis Monte Carlo Simulations

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